Evidence map›Paper›PMID 39639184›Full record

Trial reportBMC pregnancy and childbirth2024

Evaluation of a mobile application to decrease opioid misuse in patients undergoing cesarean section: a randomized controlled trial.

Annabelle Abdo, Mariel O'Connor, Jessica Kelley Morgan, Laura Hart, Alexa Leib, Steven K Walther, Andy Tang, Gail Herrine

Registry-linked trialAbstract readRandomized Controlled Trial
In one paragraph

Trial report in BMC pregnancy and childbirth, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05461196 (Decreasing Opioid Misuse and Habit-forming Behaviors Following Prescription in Patients Undergoing Cesarean Section), which is not on this map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT05461196 nacompletednot on this map

Decreasing Opioid Misuse and Habit-forming Behaviors Following Prescription in Patients Undergoing Cesarean Section

TypeinterventionalSponsorJessica MorganRan2021 to 2022Enrolled100ConditionsOpioid MisuseArmsCPMRx
3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. PostRegional anesthesia and pain medicine · 2025
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Annabelle AbdoDepartment of Obstetrics, Gynecology and Reproductive Sciences, Temple University Lewis Katz School of Medicine, Philadelphia, PA, USA. annabelle.abdo@gmail.com.
Mariel O'ConnorDepartment of Obstetrics, Gynecology and Reproductive Sciences, Temple University Lewis Katz School of Medicine, Philadelphia, PA, USA.
Jessica Kelley MorganContinuous Precision Medicine, Research Triangle Park, NC, USA.
Laura HartDepartment of Obstetrics, Gynecology and Reproductive Sciences, Temple University Lewis Katz School of Medicine, Philadelphia, PA, USA.
Alexa LeibDepartment of Obstetrics, Gynecology and Reproductive Sciences, Temple University Lewis Katz School of Medicine, Philadelphia, PA, USA.
Steven K WaltherContinuous Precision Medicine, Research Triangle Park, NC, USA.
Andy TangDepartment of Obstetrics, Gynecology and Reproductive Sciences, Temple University Lewis Katz School of Medicine, Philadelphia, PA, USA.
Gail HerrineDepartment of Obstetrics, Gynecology and Reproductive Sciences, Temple University Lewis Katz School of Medicine, Philadelphia, PA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOpioid misuse and addiction are at epidemic levels in the United States. Postoperative opioid prescription is inconsistent and often excessive, including for cesarean section patients. Technology, such as mobile applications and clinical decision support tools, can be used to decrease opioid use and misuse among patients, and to determine more appropriate prescribing practices for specific procedures. The objective of this study was to examine the preliminary impact of the Continuing Precision Medicine (CPM) mobile application to reduce the use of opioid pain medication among women who underwent cesarean section. The primary outcome is morphine milligram equivalents (MME), while the secondary outcomes will be delay to dosages, decrease of usage, and pain scores.

methodsPatients undergoing cesarean section were randomized to either a control group or an experimental group, which used the CPMRx mobile app to help manage postoperative pain. Logistic regression analyses were run to predict opioid misuse by group (control [electronic monitoring blister pack only] versus CPMRx [electronic monitoring blister pack plus mobile application]) and odds ratios (ORs) were calculated. Relative risk (RR) was also estimated by log-binomial regression.

resultsIn phase I, 105 patients were assessed for eligibility, however, 66 were excluded (not meeting criteria or declined to participate). In phase 2, 98 patients were assessed for eligibility, however, 48 were excluded for the aforementioned. Results of the logistic regression showed that opioid misuse differed significantly by group (χ

conclusionsWomen using the CPMRx mobile application were less likely to misuse their prescription opioids during the postoperative period following cesarean section. A prescription of 7 tablets of 5 mg oxycodone may be a more appropriate prescription size among this group. Systematically right-sizing prescriptions, including for subgroups, may decrease both patient- and community-level risk of opioid misuse and reduce public health burden.

trial registrationThe study was registered at ClinicalTrials.gov (NCT05461196, 18/07/2022).

Indexed as

Analgesics, OpioidCesarean SectionMobile ApplicationsOpioid-Related DisordersPostoperative PainAdultFemaleHumansPregnancyAnalgesics, OpioidCesarean sectionObstetricsOpioid misusePrescriptionPrimary preventionSubstance use

Identifiers

PMID39639184
PMCPMC11619665

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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.